Recently I’ve published a post on Medium. That was a post about how friendly an implementation of Read-Evaluate-Print-Loop (REPL) mode in different IDEs for data science. Even I like R I tried to be as much unbiased as possible while writing the post (I even must admit I was really surprised how friendly for statistical analysis a new Spyder 4.0 is). In my Medium post I mentioned there are tons of articles about the R vs. Python fight. Some of them are really comprehensive and useful. But it’s not common to consider REPL. Of course, IDE is important for efficient working process. But the features of a language as itself are crucial as well. Today I’m going to touch few other things that are typically not covered in R vs. Python comparisons. It might happen today my post is subjected and not that much unbiased. Let’s see 😊 First of all it’s widely spread that R has “weird” syntax. And in contrast, it’s claimed that Python syntax is so clear and obvious which helps a lot t
Yet another R&D engineer's blog